Research on audio characteristics based on auditory characteristics and instantaneous frequency

This paper proposes a novel audio feature extraction method that integrates auditory characteristics and instantaneous frequency, aiming to enhance the representation of audio signals. While traditional Mel-scale Frequency Cepstral Coefficient features partially capture human auditory perception, their filter shape significantly deviates from the actual auditory filters. To address this limitation, we introduce the GammaTone filter in conjunction with equivalent rectangular bandwidth scale and instantaneous frequency, resulting in two new feature sets: GammaTone Frequency Cepstral Coefficients and Instantaneous Frequency GammaTone Frequency Cepstral Coefficients. Experimental results demonstrate that both GammaTone Frequency Cepstral Coefficients and Instantaneous Frequency GammaTone Frequency Cepstral Coefficients exhibit superior capabilities in representing non-speech audio signals.

Authors

Institutions

Publication Details

Published
2024-09-13
DOI
https://doi.org/10.1109/itme63426.2024.00152
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on audio characteristics based on auditory characteristics and instantaneous frequency

Mingming Song, Wencai Liu
Speech and Audio Processing
article

Research on audio characteristics based on auditory characteristics and instantaneous frequency

Mingming Song, Wencai Liu
article en

Abstract

This paper proposes a novel audio feature extraction method that integrates auditory characteristics and instantaneous frequency, aiming to enhance the representation of audio signals. While traditional Mel-scale Frequency Cepstral Coefficient features partially capture human auditory perception, their filter shape significantly deviates from the actual auditory filters. To address this limitation, we introduce the GammaTone filter in conjunction with equivalent rectangular bandwidth scale and instantaneous frequency, resulting in two new feature sets: GammaTone Frequency Cepstral Coefficients and Instantaneous Frequency GammaTone Frequency Cepstral Coefficients. Experimental results demonstrate that both GammaTone Frequency Cepstral Coefficients and Instantaneous Frequency GammaTone Frequency Cepstral Coefficients exhibit superior capabilities in representing non-speech audio signals.

Guizhou Institute of Technology (CN)
Guiyang University
Openalex Percentile: Top 68%
Speech and Audio Processing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.